Liver Bacterial Dysbiosis With Non-Tuberculosis Mycobacteria Occurs in SIV-Infected Macaques and Persists During Antiretroviral Therapy

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Liver Bacterial Dysbiosis With Non-Tuberculosis Mycobacteria Occurs in SIV-Infected Macaques and Persists During Antiretroviral Therapy
ORIGINAL RESEARCH
                                                                                                                                             published: 10 January 2022
                                                                                                                                       doi: 10.3389/fimmu.2021.793842

                                            Liver Bacterial Dysbiosis With Non-
                                            Tuberculosis Mycobacteria Occurs in
                                            SIV-Infected Macaques and Persists
                                            During Antiretroviral Therapy
                                            Bridget S. Fisher 1†, Katherine A. Fancher 1†, Andrew T. Gustin 2, Cole Fisher 1,
                                            Matthew P. Wood 1, Michael Gale Jr2, Benjamin J. Burwitz 3, Jeremy Smedley 4,
                            Edited by:      Nichole R. Klatt 5, Nina Derby 1* and Donald L. Sodora 1*
                       Cristian Apetrei,
University of Pittsburgh, United States     1 Seattle Children’s Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States, 2 Center

                                            for Innate Immunity and Immune Disease, Department of Immunology, University of Washington, Seattle, WA, United States,
                       Reviewed by:
                                            3 Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, OR, United States, 4 Oregon National
                          Huanbin Xu,
                                            Primate Research Center, Oregon Health & Science University, Beaverton, OR, United States, 5 Department of Surgery,
      Tulane University, United States
                                            University of Minnesota, Minneapolis, MN, United States
            Luminița-Smaranda Iancu,
Grigore T. Popa University of Medicine
             and Pharmacy, Romania
                                            Liver disease is a significant contributor to morbidity and mortality in HIV-infected
                *Correspondence:
                                            individuals, even during successful viral suppression with combination antiretroviral
                  Donald L. Sodora
    Don.Sodora@seattlechildrens.org         therapy (cART). Similar to HIV infection, SIV infection of rhesus macaques is associated
                        Nina Derby          with gut microbiome dysbiosis and microbial translocation that can be detected
     Nina.Derby@seattlechildrens.org
     †
                                            systemically in the blood. As microbes leaving the intestines must first pass through the
      These authors have contributed
                 equally to this work
                                            liver via the portal vein, we evaluated the livers of both SIV-infected (SIV+) and SIV-infected
                                            cART treated (SIV+cART) rhesus macaques for evidence of microbial changes compared
                     Specialty section:     to uninfected macaques. Dysbiosis was observed in both the SIV+ and SIV+cART
           This article was submitted to
                        Viral Immunology,
                                            macaques, encompassing changes in the relative abundance of several genera,
                 a section of the journal   including a reduction in the levels of Lactobacillus and Staphylococcus. Most strikingly,
                Frontiers in Immunology     we found an increase in the relative abundance and absolute quantity of bacteria within
           Received: 12 October 2021        the Mycobacterium genus in both SIV+ and SIV+cART macaques. Multi-gene sequencing
         Accepted: 16 December 2021
          Published: 10 January 2022        identified a species of atypical mycobacteria similar to the opportunistic pathogen M.
                              Citation:     smegmatis. Phosphatidyl inositol lipoarabinomannan (PILAM) (a glycolipid cell wall
   Fisher BS, Fancher KA, Gustin AT,        component found in atypical mycobacteria) stimulation in primary human hepatocytes
      Fisher C, Wood MP, Gale M Jr,
     Burwitz BJ, Smedley J, Klatt NR,
                                            resulted in an upregulation of inflammatory transcriptional responses, including an
Derby N and Sodora DL (2022) Liver          increase in the chemokines associated with neutrophil recruitment (CXCL1, CXCL5,
         Bacterial Dysbiosis With Non-      and CXCL6). These studies provide key insights into SIV associated changes in hepatic
Tuberculosis Mycobacteria Occurs in
 SIV-Infected Macaques and Persists         microbial composition and indicate a link between microbial components and immune cell
         During Antiretroviral Therapy.     recruitment in SIV+ and SIV+cART treated macaques.
          Front. Immunol. 12:793842.
    doi: 10.3389/fimmu.2021.793842          Keywords: HIV/SIV, microbiome, liver, 16S rRNA gene, neutrophils

Frontiers in Immunology | www.frontiersin.org                                       1                                       January 2022 | Volume 12 | Article 793842
Liver Bacterial Dysbiosis With Non-Tuberculosis Mycobacteria Occurs in SIV-Infected Macaques and Persists During Antiretroviral Therapy
Fisher et al.                                                                                             Liver Mycobacteria in SIV-Infected Macaques

INTRODUCTION                                                                 findings, murine and clinical studies have established that
                                                                             microbial dysbiosis and leaky gut are both features of alcoholic
HIV infection continues to be a major public health concern with             liver disease and NAFLD, and increased levels of bacterial
approximately 37.6 million people living with HIV at the end of              products have been identified in the livers and plasma of
2020 (1). With the introduction of highly effective combination              individuals with these conditions (17, 25–29). The association
antiretroviral therapy (cART), the life expectancy of HIV                    between bacterial translocation, systemic immune activation,
infected (HIV+) individuals has moved closer to that of the                  and NAFLD with disease progression in HIV+ individuals (30)
general population, particularly in higher income countries (2,              suggests that microbial dysbiosis may be a key driver of
3). Nevertheless, HIV+ individuals experience a greater burden               inflammation in HIV-associated liver disease.
of co-morbidities, often at a markedly younger age, including                    The SIV-macaque model has played key roles in unraveling
cardiovascular disease, frailty, cognitive decline, and liver disease        HIV associated disease outcomes, including establishing that liver
(4–6). Among these chronic health conditions, liver disease is               inflammation and fibrosis occur in the absence of confounding
especially prevalent, most notably non-alcoholic fatty liver                 triggers such as hepatitis virus infection (31). The SIV model has
disease (NAFLD), and is a leading cause of death in HIV+                     also established that bacterial translocation is associated with
individuals (7, 8). The factors that initiate hepatic lipid                  systemic immune activation observed during HIV disease
deposition, inflammation and the development of liver disease                 progression (32). The gut microbiome of macaques is influenced
during HIV infection are poorly defined and are likely                        by numerous factors including age, environment, food, antibiotics
multifactorial. Several studies have linked HIV viral load to                and SIV infection (33–38). Studies from our laboratory and others
liver disease (9–11), suggesting that viral stimulation (either as           have identified increased levels of the bacterial products E. coli,
a pathogen associated molecular pattern (PAMP) or through                    LPS, and 16s rRNA DNA in the liver during SIV infection (39–41),
replication) plays a role. Liver macrophages (Kupffer cells) have            and in the context of cART (32, 41). Dysbiosis of the rhesus
been implicated in the inflammation associated with HIV                       macaque liver microbiome during SIV infection has previously
infection due to alterations in the induction of inflammatory                 been associated with an increase in Proteobacteria originating
genes such as cytokines and chemokines (12). Liver disease can               from the large intestine (32). Studies described here expand upon
also be observed in HIV+ persons virally suppressed with cART                the earlier work by assessing liver microbial changes in both SIV-
(13), indicating that the virus itself is not the only driver of liver       infected (SIV+) and SIV+ cART-treated (SIV+cART) macaques at
dysfunction. Although cART itself has previously been                        lower taxonomic levels than evaluated previously, and by testing
associated with hepatotoxicity (14, 15), NAFLD has continued                 the impact of the prevalent observed microbial species on
to be an issue in HIV patients taking more recently developed                hepatocyte signaling. These studies, which use livers from
and less hepatotoxic cART regimens (16). Importantly, liver                  macaques already characterized with regard to immune cell
disease in HIV+ individuals is complicated by the presence of                subsets by our laboratory (41), reveal novel patterns of liver
comorbidities and coinfections which makes drawing of                        microbial dysbiosis and immune responses that shape our
mechanistic conclusions more difficult and raises the                         understanding of HIV-associated liver disease.
importance of using an animal model to address these types
of questions.
    HIV+ individuals may be co-infected with a number of
microbial invaders, including opportunists such as non-                      MATERIALS AND METHODS
tuberculosis mycobacteria (NTMs). The gastrointestinal tract
represents an important source of bacteria that can enter the                Ethics Statement
circulation. After leaving the gastrointestinal tract, blood is              All animal studies were directed in accordance with protocols
filtered by the liver to remove key nutrients and bacteria prior              approved by the Center for Infectious Disease Research (now
to entering the general circulation. In healthy individuals, the             Seattle Children’s Research Institute; CIDR protocol DS-05
bacterial products that enter the liver are associated with                  UW), and Washington National Primate Research Center
immune tolerance and low levels of inflammation (17).                         (WaNPRC), Seattle, WA (protocols 4314–01, 4213–02 and
However, elevated bacterial load or altered bacterial                        4213–03) under the Institutional Animal Care and Use
composition (dysbiosis) can result in an inflammatory                         Committees (IACUCs). All rhesus macaques involved in this
response within the liver (17, 18). Central to this inflammation              study were managed according to the laws, regulations, and
are the Kupffer cells that play a key role in the clearance of               guidelines set forth by the United States Department of
microbial products from portal blood (19). Upon engagement of                Agriculture, Institute for Laboratory Animal Research, Public
innate receptors [e.g. toll-like receptors (TLRs)] on these cells by         Health Service, National Research Council, Centers for Disease
microbial products, inflammatory and profibrotic mediators are                 Control, the Weatherall Report titled “The use of nonhuman
produced, such as TNF-a, IL-12, IL-6 and TGF-b (19–21). Other                primates in research”, and the Association for Assessment and
cells involved in the inflammatory response are neutrophils,                  Accreditation of Laboratory Animal Care (AAALAC)
which are recruited and release reactive oxygen species and                  International. Nutritional plans utilized by WaNPRC consisted
pro-inflammatory cytokines (18, 22), and hepatocytes that                     of standard monkey chow supplemented with a variety of
experience altered gene expression and production of                         fruits, vegetables, and other edible objects as part of the
inflammatory mediators (23, 24). Consistent with these                        environmental enrichment program established by the

Frontiers in Immunology | www.frontiersin.org                            2                                January 2022 | Volume 12 | Article 793842
Liver Bacterial Dysbiosis With Non-Tuberculosis Mycobacteria Occurs in SIV-Infected Macaques and Persists During Antiretroviral Therapy
Fisher et al.                                                                                          Liver Mycobacteria in SIV-Infected Macaques

Behavioral Management Unit. Enrichment was distributed and               dissociated at 6500 rpm for 45 seconds. The supernatant was
overseen by veterinary staff with animals having access to more          incubated with 1/10 volume of bromochloropropane (Molecular
than one category of enrichment. SIV+ macaques were kept in              Research Center) for 5 minutes and the organic and aqueous phases
individual, adjoining cages allowing for social interactions with        separated by centrifugation at 12,000xg for 15 minutes at 4°C.
primate health observed daily by trained staff. All efforts were
made to minimize suffering using minimally invasive                      Tissue DNA Extraction From Liver Powder
procedures, anesthetics, and analgesics when deemed                      Liver powder (10-30 mg) was placed into a sterile, pre-chilled
appropriate by veterinary staff. Animals were painlessly                 microcentrifuge tube. Genomic DNA was extracted using the
euthanized by sedation with ketamine hydrochloride injection             NucleoSpin Tissue DNA extraction kit (Takara, Mountain View,
followed by intravenous barbiturate overdose following the               CA) per the manufacturer’s instructions, where samples were
recommendations of the panel of euthanasia of the American               pre-lysed and allowed to incubate at 56°C for at least 1-3 hours,
Veterinary Medical Association. These macaques have been                 mixing occasionally. Samples were then lysed with provided
described previously (41).                                               buffer, vortexed vigorously, and incubated at 70°C for 10
                                                                         minutes. Ethanol was added and samples were centrifuged in
Liver Tissue Collection                                                  NucleoSpin Tissue Columns into a collection tube at 11,000 x g
Liver tissue was collected at necropsy from uninfected (N=4),            for 1 minute. After a series of washes, samples were eluted with
SIV+ (N=6) and SIV+ cART (N=6) adult Indian rhesus                       elution buffer and collected. Following concentration
macaques (Macaca mulatta). Control samples from uninfected               determination with a NanoDrop 2000 Spectrophotometer
macaques were acquired from the Tissue Donor Program at                  (Thermo Scientific, Waltham, MA), isolated genomic DNA
WaNPRC. SIV+ macaques were infected intrarectally with                   was stored at -80°C until use.
SIVmac239x (41). SIV+ macaques receiving cART were
administered subcutaneous tenofovir (20 mg/kg body weight)               16s rRNA Gene Sequencing and
and emtricitabine (30 mg/kg) and oral raltegravir (50 mg twice           Microbiome Analysis
daily) starting 120 days post-infection and continuing for 35-36         Genomic DNA extracted from the liver (20 µL) was used for 16s
weeks prior to euthanasia (41). Care was taken during necropsies         rRNA gene community sequencing through Illumina according to
to prevent cross-contamination between samples and between               the Earth Microbiome Protocol (42). The V3-V4 region of the 16s
macaques. Tissue was washed in phosphate buffered saline                 rRNA gene was amplified in triplicate using 515fB and 806rB
(PBS), formalin-fixed, paraffin-embedded for microscopy or                 primers at 0.2uM. Cycling conditions were 94°C for 3 minutes
flash-frozen in liquid nitrogen and then stored at -80°C for              followed by 35 cycles of 94°C for 45 seconds, 50°C for 60 seconds
nucleic acid extraction.                                                 and 72°C for 90 seconds, followed by a final extension at 72°C for 10
                                                                         minutes. PCR amplicons were cleaned with 0.8x AMPure XP beads
Liver Tissue Disruption by Ball Mill                                     (Beckman Coulter, Brea, CA) before the addition of Nextera XT
Pulverization                                                            dual index adaptors (Illumina Inc., San Diego, CA). Indexed
Flash-frozen liver tissue was pulverized into a fine powder by ball       amplicons were cleaned using 1.1× AMPure XP beads (Beckman
milling with three large stainless steel balls per sample in the         Coulter, Brea, CA), quantified using a Qubit DNA high-sensitivity
stainless steel chamber of the Retsch Planetary Ball Mill under          assay kit (Life Technologies, Carlsbad, CA), and multiplexed using
cryogenic conditions with liquid nitrogen (Retsch Laboratory             an equal molar ratio of DNA for each sample. 16S rRNA gene
Equipment, Haan, Germany). Each sample was subjected to                  libraries were loaded on a 300-cycle MiSeq kit and sequenced using
three cycles at 300 rpm for two minutes each. Between each               Nextera sequencing read and index primers (all from Illumina Inc.).
cycle, the chamber was removed from the ball mill instrument             Paired-end demultiplexed FASTQ files from the Illumina base space
and re-frozen in liquid nitrogen to preserve cryogenic                   were imported into the QIIME2 pipeline (QIIME 2 Core 2019.10)
conditions. Following pulverization, the pale pink liver powder          to create a demultiplexed QIIME2 object. These objects were
was collected using a spatula to retrieve the powder off the walls       matched to identified amplicon sequence variants (ASVs) using
of the chamber and the balls into a collection tube (spatula and         the dada2 algorithm which worked to detect and correct Illumina
tube were both pre-chilled in liquid nitrogen) and stored at -80°C       amplicon sequence data and denoise by trimming to 145 bases to
until DNA extraction. Machine and steel balls were cleaned               remove low-quality regions. A rooted phylogenetic tree was
between samples to prevent cross contamination.                          constructed using the Mafft multiple sequencing alignment
                                                                         program and taxonomy was assigned using the SILVA database
Liver Tissue Disruption and Phase                                        specific to the V3-V4 region. After taxonomy was determined,
Separation Using Bead Beater                                             results were exported from the pipeline for downstream analysis in
DNA extraction was also undertaken following use of a bead beater        R using the phyloseq package.
MagNA Lyser bead beater (Roche Life Science, Penzberg,
Germany). Frozen liver tissue was placed in a lysing tube                Quantification of Mycobacterial DNA in the
containing ceramic beads (Lysing Matrix D, MP Biomedicals,               Liver by qPCR
Santa Ana, CA) with guanidine thiocyanate and phenol (Tri                All liver DNA samples were diluted in nuclease-free water. Each
Reagent, Molecular Research Center, Cincinnati, OH) and                  sample (5 µL) was prepared in duplicate in a 20 µL volume

Frontiers in Immunology | www.frontiersin.org                        3                                 January 2022 | Volume 12 | Article 793842
Liver Bacterial Dysbiosis With Non-Tuberculosis Mycobacteria Occurs in SIV-Infected Macaques and Persists During Antiretroviral Therapy
Fisher et al.                                                                                      Liver Mycobacteria in SIV-Infected Macaques

reaction with the PowerUp SYBR Green Master Mix kit (Applied           (Tualatin, OR). HepaCure human hepatocytes are produced by
Biosystems, Waltham, MA) and Mycobacterium-specific primers             the immunization of humanized FRG®KO mice with cadaver-
(MycoARB210: 5’-TTT GCG GTG TGG GAT GGGC-3’ and                        derived human hepatocytes. Upon receipt, the media was
MycoARB585: 5’-CGA ACA ACG CGA CAA ACCA-3’). A ‘No                     immediately replenished with 500 mL InVitro GRO Hi
Template’ Negative Control was included to control for reagent         Medium (BioIVT, Westbury, NY) supplemented with Torpedo
contamination and non-specific amplification. A standard curve           Antibiotic Mix (BioIVT). Cultures were incubated at 37°C, 5%
was generated by serially diluting pure M. bovis (BCG) DNA 10-         CO2 overnight. To determine the hepatocyte response to
fold, ranging from 10-0.001 ng/µL (R2 > 0.95). PCR reactions ran       mycobacterial PAMPs, purified lipoarabinomannan (LAM)
one cycle at 50°C for 2 minutes then increasing to 95°C for 2          from M. smegmatis (PILAM, 0.1 and 10 ug/mL, BEI Resources,
minutes followed by 45 cycles of 94°C for 15 seconds, annealing        Manassas, VA), or M. tuberculosis, Strain H37Rv (ManLAM, 0.1
at 61°C for 30 seconds, and extending at 72°C for 30 seconds           and 10 ug/mL, BEI Resources), were added to hepatocytes. Each
with a final extension step at 72°C for 7 minutes. Following the        stimulation condition, as well as the control condition, were
qPCR cycles, PCR reactions were subjected to a melt curve              conducted in triplicate. Plates were incubated at 37°C, 5% CO2
analysis to examine products formed. The concentration of              for 24 hours. For live mycobacteria stimulations, M. smegmatis
Mycobacterium DNA per sample was determined through a                  bacteria (strain MC2155) were grown to exponential phase,
non-linear regression on the standard curve and converted to           washed with PBS and resuspended in InvitroGRO Hi Medium
copy number based on BCG molecular weight (5.63x1012 mg/               without antibiotics at 350,000 bacteria/mL. Hepatocytes were
mole). The weight was then converted to 4.277x107 molecules/           stimulated with M. smegmatis (multiplicity of infection (MOI)
mole and the standard curve was plotted based on molecules             10) in triplicate for 24 hours at 37°C, 5% CO 2. For all
where copy number was equal to 4.277x107 molecules/mole * log          stimulations, supernatant was collected and stored at -80°C.
(CT) where the standard curve equation was extrapolated (y =           The hepatocyte monolayer was then washed with 500 mL pre-
-0.032ln(x) +1.8377). Copy number of the liver Mycobacterium           warmed PBS and then lysed in 300 mL RA1 buffer containing
DNA was then calculated from the standard curve equation               beta-mercaptoethanol. RNA was isolated from the cell lysate
(copy number = e ((log (Ct) – 1.8377)/-0.032)). Duplicates were        following protocols from the NucleoSpin RNA isolation kit
averaged for each sample. qPCR to detect a conserved region of         (Macherey-Nagel, Bethlehem, PA).
the 16S rRNA gene was performed as reported previously (41).
                                                                       Transcriptomic Analysis of HepaCure
Identification of Mycobacterium Species                                 Hepatocytes by Nanostring
by Multi-Gene Sequencing                                               RNA (triplicates from the stimulation experiment) was diluted to
Genomic DNA (gDNA) was diluted in nuclease-free water and              20 ng/mL in nuclease-free water and used for transcriptomic
amplified by nested PCR in the 16s rRNA and the rpoB genes per          analysis using a Nanostring Inflammation Panel (Human v2)
the conditions outlined in Supplementary Table 1. For each             (Nanostring, Seattle, WA). Probe set-target RNA hybridization
first-round PCR reaction, 500 ng (5 µL) of gDNA was added into          reactions were performed according to the manufacturer’s
a 50 µL reaction and amplified using the Platinum Taq DNA               protocol using 100 ng (5 mL) of total RNA. Purified probe set-
Polymerase reaction kit (Invitrogen, Carlsbad, CA). For nested         targets were processed and immobilized on nCounter Cartridges
PCR reactions, 1 µL of the first-round PCR product was added to         using a nCounter MAX prep station. Transcripts of interest were
a 50 µL reaction containing the nesting primers and Platinum           quantified on the Digital Analyzer for each sample. For data
Taq DNA Polymerase. Each round of PCR contained a positive             analysis, nCounter RCC files were imported in nSolver Analysis
control of BCG DNA and a negative no template (water) control.         Software 4.0 and checked for quality control. Determination of
Amplicons from the nested PCR were examined by 1% agarose              differentially expressed genes, pathways analysis, and cell
gel. Each PCR amplicon showing the correct size was cleaned up         profiling was conducted using the Nanostring Advanced
using a Nucleospin PCR Clean-up Kit (Takara) and eluted into           Analysis software per the manufacturer’s instructions. For each
30 µL of EB buffer. Purified PCR amplicons (20 ng) along with           stimulation condition, differentially expressed genes were
positive and negative control samples were sequenced by Sanger         determined by comparing the normalized count data between
sequencing using both forward and reverse nesting primers in           stimulated hepatocytes and unstimulated control hepatocytes.
separate reactions. Following sequencing, DNA sequence quality         Heatmaps were generated in Prism version 5.0f software
was examined in 4Peaks software and low-quality reads from the         (GraphPad Software, Inc., San Diego, CA), showing fold
5’ and 3’ ends removed. Consensus sequences generated through          change of each gene in the panel. Volcano plots were assessed
the alignment of forward and reverse reads were analyzed               using the Python Matplotlib package for significant genes using a
with BLAST.                                                            threshold of 1.5-fold change (log2(1.5) = 0.585) and 0.05
                                                                       adjusted p-value.
Culture and Stimulation of Human
Hepatocytes With Mycobacteria and                                      Statistics
Mycobacterial Antigens                                                 Statistical analyses were performed using Prism version 5.0f
Human HepaCure Hepatocytes on Matrigel overlay (350,000                software (GraphPad Software, Inc.). A nonparametric ANOVA
hepatocytes/well in 24-well dishes) were acquired from Yecuris         (Kruskal Wallis) test was used to compare the uninfected, SIV+,

Frontiers in Immunology | www.frontiersin.org                      4                               January 2022 | Volume 12 | Article 793842
Liver Bacterial Dysbiosis With Non-Tuberculosis Mycobacteria Occurs in SIV-Infected Macaques and Persists During Antiretroviral Therapy
Fisher et al.                                                                                                        Liver Mycobacteria in SIV-Infected Macaques

and SIV+cART groups with post-test pairwise comparisons                            from Firmicutes and Actinobacteria with Bacteroidetes also being
conducted using the Dunns test. Transcriptomic analysis was                        well-represented (Supplementary Figure 1). Within these phyla,
completed using nSolver (Nanostring, version 4.0.62).                              many genera were common across the liver microbial
                                                                                   communities of the complete macaque cohort while others were
                                                                                   present sporadically (Figures 1A–C).
RESULTS                                                                                Uninfected macaques had a diverse liver microbiome with no
                                                                                   dominant pervasive genus (Figure 1A). Within the uninfected
The Liver Microbiome During SIV Infection                                          macaques’ 19 most abundant genera, the highest percentage of
The liver microbiome was evaluated at the genus level in macaques                  sequences belonged to Stenotrophomonas (Proteobacteria phylum),
that were uninfected, SIV+, and SIV+cART through 16S rRNA                          and this genus constituted approximately 15% of sequences. In
gene sequencing (41). Liver bacterial communities displayed                        contrast, liver bacterial communities in the macaques from both the
variation overall among the macaques, and the observed taxa                        SIV+ and SIV+cART groups consisted of a greater abundance of
represented several phyla: Actinobacteria, Bacteroidetes,                          sequences in the Mycobacterium genus (Figures 1B, C)
Chlamydiae, Deinococcus-Thermus, Epsilonbacteraeota,                               [Actinobacteria phylum, median ~14% in SIV+ and ~20% in SIV
Firmicutes, Fusobacteria, Proteobacteria, and Tenericutes                          +cART (Figure 2)]. Animals A14050 (SIV+), Z09068 (SIV+) and
(Supplementary Figure 1). Of the 49 genera identified across all                    A13275 (SIV+cART) carried the highest percentage of
the animals’ liver samples, almost half (22 of 49) represented                     Mycobacterium sequences (Figures 1B, C). Other SIV-related
Proteobacteria. Proteobacteria also made up 6 of the 10 genera                     differences include decreased relative abundance of Lactobacillus
with sequences present at greater than 10% prevalence in the                       and Staphylococcus (both Firmicutes phylum) in SIV+ macaques
complete cohort, in agreement with previous studies showing a                      that persisted with cART as well as decreased relative abundance of
high prevalence of Proteobacteria in the macaque liver (32). The                   Halomonas and Acinetobacter (both Proteobacteria phylum) that
remaining high prevalence sequences (>10% abundance) came                          was specific to cART-treated SIV (Figures 1, 2). Comparison of the

                          A                                                         B

                          C

 FIGURE 1 | Individual macaque liver 16S microbiome analysis. Amplified 16S bacterial DNA sequences from liver samples were analyzed using the QIIME2 pipeline
 and visualized as percentage of sequences present in individual samples for (A) Uninfected macaques, (B) SIV+ macaques, and (C) SIV+cART macaques. Only
 bacteria representing the nineteen most abundant genera are included; other genera are compiled into the “Other” category.

Frontiers in Immunology | www.frontiersin.org                                  5                                     January 2022 | Volume 12 | Article 793842
Liver Bacterial Dysbiosis With Non-Tuberculosis Mycobacteria Occurs in SIV-Infected Macaques and Persists During Antiretroviral Therapy
Fisher et al.                                                                                                         Liver Mycobacteria in SIV-Infected Macaques

                A                                                     B

 FIGURE 2 | Relative abundance of identified genera in macaque groups. Relative abundance of the most prevalent genera across all liver samples identified by 16S
 rRNA gene sequencing compared by condition group: Uninfected, SIV+, and SIV+cART. Plots were generated using the pyloseq package by plotting mean fraction
 of sequences ± SEM for each condition group per genus and are depicted on a single scale (A) and with an expanded scale (B) that highlights the differences
 between less prevalent genera.

median relative abundance across treatment groups revealed that                    levels in some of the uninfected macaques were extremely low.
the SIV+cART group exhibited an overall reduction in microbial                     The copy number was significantly higher in both the SIV+
diversity compared with the SIV+ group; all genera were reduced                    (p=0.0048) and the SIV+cART macaques (p=0.0095) when
except for Mycobacterium and Stenotrophomonas, which were                          compared to uninfected macaques (Figure 4). These data
increased compared with the SIV+ macaques (Figure 2).                              confirm that Mycobacterium DNA was present in the liver
   Differences in alpha diversity metrics between the macaque                      during SIV infection as seen in the 16S rRNA gene sequencing,
groups followed from the observed differences in relative                          and that cART did not restore the liver microbiome to normal
abundance (Figures 3A–C). The richness of observed microbial                       composition even after more than 30 weeks of viral suppression.
communities observed within each macaque liver (reflected as the                        To better understand which Mycobacterium species were
number of observed taxa) were not significantly changed amongst                     present in the livers of these macaques during SIV infection,
the treatment groups (Figure 3A) while the most significant                         multi-gene amplicon sequencing was performed. High sequence
finding was the degree to which a single taxon dominated the                        homology in closely related mycobacteria necessitates the use of
liver microbiomes of SIV+cART macaques, which was                                  multiple genes to help identify the species. Thus, Mycobacterium-
significantly less even when compared to uninfected macaques                        specific primers for both the 16S rRNA gene and the rpoB gene
(Figure 3C). Due to the disparity in evenness, the microbiomes of                  were utilized to amplify variable regions of each gene, followed by
SIV+cART macaques also demonstrated the lowest Shannon                             sequencing. Identification of liver mycobacteria using the 16S
diversity (Figure 3B), though this finding was not significant.                      rRNA gene indicated the presence of NTM of a few possible
Paralleling the variation observed specifically in Mycobacterium,                   species, including M. smegmatis, M. marinum, or M. goodii, with
SIV+ macaques had high variation in the overall number of                          greater than 99% sequence match (Table 1). Two of the macaques
observed taxa compared to the uninfected and SIV+cART                              (Z09086, Z09096) yielded top BLAST hits exclusively for M.
groups (Figure 3A).                                                                smegmatis. The rpoB gene has less sequence coverage in the
                                                                                   BLAST database but is valuable in combination with the 16S
Assessment of Mycobacterial DNA                                                    rRNA gene analysis. The rpoB gene sequencing analysis
Since 16S rRNA gene sequence abundance is a relative estimate                      consistently yielded the identification of M. smegmatis in the
that reflects the abundance of other bacteria, qPCR was                             liver of each macaque with >99% identity matches for all liver
conducted to confirm that Mycobacterium was indeed                                  DNA samples tested, with exception to Z09096 which did
increased in the liver during SIV infection in both untreated                      not have enough DNA template for this secondary PCR
and cART-suppressed macaques. Based on previous methods                            verification (Table 1). Taken together, these data suggest that M.
(43), extracted liver DNA was quantified in the liver of each                       smegmatis or a closely related species is likely the specific
macaque using Mycobacterium 16S rRNA gene-specific primers.                         Mycobacterium species present in the livers of these SIV+ and
Mycobacterium DNA was detected in all macaques, although                           SIV+cART macaques.

Frontiers in Immunology | www.frontiersin.org                                  6                                      January 2022 | Volume 12 | Article 793842
Fisher et al.                                                                                                          Liver Mycobacteria in SIV-Infected Macaques

                A                                           B                                             C

 FIGURE 3 | Alpha diversity of the 16S rRNA gene detected in liver. Amplified 16S rRNA gene sequences from liver samples were analyzed using the QIIME2
 pipeline for alpha diversity and compared by condition group: Uninfected, SIV+ and SIV+cART. (A) Evaluation of richness of observed taxa across condition groups
 showing the mean (± standard deviation, SD) number of observed taxa within the condition group. (B) Representation of the proportion of species abundance
 showing the mean Shannon index (± SD) in the given population, where higher index indicates similar number of individuals. (C) Comparison of evenness among the
 condition groups, showing the mean (± SD) representation by different taxa.

Hepatocyte Transcriptional Responses to                                             closely resembled that of hepatocytes stimulated with
Mycobacteria Cell Wall Components                                                   ManLAM (M. tuberculosis) than PILAM (M. smegmatis)
Aberrant hepatocyte inflammation and metabolism are key                              (Figure 6D) including an upregulation in expression of
drivers in fatty liver disease. To explore the relationship                         CCL20, CXCL10, CXCL2 and IL-8.
between Mycobacterium and hepatocyte inflammatory
responses, we stimulated primary human hepatocytes in
vitro with purified LAM and assessed gene expression using                           DISCUSSION
a Nanostring inflammation panel (44). LAM is a major
component of the Mycobacterium cell wall and a PAMP.                                Different bacterial taxa have the potential to be inflammatory or
Different species of Mycobacterium express distinct LAMs.                           anti-inflammatory; thus the composition of microbial
Mannosylated LAM (ManLAM) is typically found in more                                communities within the body exerts important influences on
pathogenic Mycobacterium species, such as M. tuberculosis                           homeostasis (17). Like HIV infection (45), SIV infection is
while phosphoinositol-capped LAM (PILAM) is found in                                associated with gut and liver microbiome dysbiosis, including an
opportunistic Mycobacterium, such as M. smegmatis.                                  enrichment for inflammatory Proteobacteria that preferentially
   Stimulation with LAMs induced a dose dependent global                            translocate out of the gut lumen into the colon and are detected
change in hepatocyte gene expression compared to the control                        within the liver (32). Microbial products that leave the gut via the
condition (Figure 5). ManLAM and PILAM both altered                                 portal circulation are subject to immune responses in the liver,
expression of the same genes; however, overall ManLAM                               such as inflammation and tissue damage in the case of increased
impacted gene expression more strongly than PILAM (Figure 5).                       bacterial load or dysbiotic taxa (39). In previous work, we
An exception was IL-7, which was more dramatically down-                            identified an increase in the total amount of bacterial DNA in
regulated when hepatocytes were stimulated with PILAM                               the livers of SIV+ macaques that persisted in the presence of
(Figures 6A, B). Significant gene expression changes                                 effective cART and determined that the heightened level of
common between the ManLAM and PILAM stimulation                                     bacterial DNA did not correlate with macrophage numbers,
include several chemokines involved in neutrophil                                   which instead correlated with plasma viral load and thus
chemotaxis (CXCL1, CXCL6, CXCL5) (Figures 6A, B), albeit                            declined in cART-treated animals. Thus, here we sought to
with a fold change that was higher for hepatocytes stimulated                       identify the taxa of translocated bacteria present in the liver and
with ManLAM (Figure 6C) compared to PILAM (Figure 6B).                              mechanistically assess the relationship between these bacteria and
Comparison of the LAM stimulation with stimulation by live                          hepatic immune activation. Using bacterial 16S rRNA gene
bacteria revealed that the hepatocyte transcriptome observed                        sequencing together with qPCR, we characterized the liver
under stimulation with live M. smegmatis (MOI 10) more                              microbiota to the genus level and confirmed an increase in the

Frontiers in Immunology | www.frontiersin.org                                   7                                       January 2022 | Volume 12 | Article 793842
Fisher et al.                                                                                                      Liver Mycobacteria in SIV-Infected Macaques

                                                                                     cytokines and chemokines, including CXCL1, CXCL5, CXCL6,
                                                                                     which are key for neutrophil recruitment.
                                                                                         The livers of SIV+ animals presented with an increase in
                                                                                     prevalent genera during infection, with Mycobacterium as the
                                                                                     most abundant genus present and persistent in the face of
                                                                                     suppressive cART. In HIV+ patients, there is reduced diversity in
                                                                                     gut microbiome composition that does not generally recover to pre-
                                                                                     HIV levels after cART is initiated (45). Liver microbial communities
                                                                                     of SIV+ macaques herein varied widely in their richness, suggesting
                                                                                     that microbial effects of SIV infection may be host and context
                                                                                     dependent and may influence the inter- and intra-genus diversity of
                                                                                     the liver microbiome. SIV+ animals treated with cART possessed
                                                                                     the least even spread of observed taxa with the opportunistic
                                                                                     mycobacteria persisting and/or expanding. There are at least two
                                                                                     plausible explanations for why cART did not substantially reduce
                                                                                     the levels of atypical mycobacteria in the livers of SIV+ macaques.
                                                                                     Livers were analyzed 35 to 36 weeks after the onset of cART, and
                                                                                     this may be insufficient time for microbiome restoration.
                                                                                     Alternatively, or in addition, clearance of mycobacteria may be
                                                                                     difficult once colonization is established. Yet another possibility is
                                                                                     that host conditions that promote dysbiosis such as metabolism are
                                                                                     not restored during cART, thereby furthering the dysbiotic state.
                                                                                     Longitudinal characterization of the liver microbiome during
                                                                                     infection and at later time points following the introduction of
                                                                                     cART as well as an understanding of the role of cART alone will aid
 FIGURE 4 | Hepatic Mycobacterium DNA quantitation by qPCR. Quantitative             in our understanding of these observations. Notably, the low
 PCR was conducted with Mycobacterium specific 16S rRNA gene primers to               detection of Mycobacterium in the uninfected macaques indicates
 quantify amounts of DNA present in macaque liver samples. Mycobacterium
                                                                                     that bacteria of this genus are likely present in the normal liver
 16S rRNA DNA was quantified from a standard curve created by serially
 diluting pure M. bovis (BCG) DNA 10-fold and then converted into copy
                                                                                     microbiome, but the immunocompromised state of SIV infection
 number per 750 ng template DNA based off of the molecular weight of                 allows the bacteria to opportunistically thrive. Thus, SIV infection
 BCG. Duplicates from each macaque were averaged and the mean                        may provide the opportunity for specific genera that are present in
 plotted by treatment group with Uninfected macaques shown in gray,                  the liver microbiome to increase in prevalence, rather than allow for
 SIV+ macaques in teal, and SIV+cART macaques in purple. Statistical
                                                                                     the introduction of new genera. It is also notable that most of the
 significance was determined using a Kruskal Wallis test and Dunns post-
 test with a significance cutoff of p
Fisher et al.                                                                                                           Liver Mycobacteria in SIV-Infected Macaques

 FIGURE 5 | Mycobacterium LAM hepatocyte stimulation global inflammatory gene expression heatmap. Human HepaCure hepatocytes were stimulated with M.
 smegmatis PILAM (Left) and M. tuberculosis ManLAM (Right) at 0.1 mu/mL and 10 ug/mL for 24 hours. Extracted RNA was evaluated using the Human v2
 Nanostring Inflammation Panel and compared using log2 fold change relative to the unstimulated control hepatocytes. Genes in red indicate an up-regulation and in
 blue a down-regulation. All genes included in the panel are represented on the heatmap.

efficiently retrieves DNA from mycobacteria. There are two                            Second, we confirmed the presence of mycobacteria in some of
reasons why we are confident that detection of mycobacteria                           the liver samples by extracting DNA from the samples with a
DNA in the macaque liver samples processed by ball milling in                        different method: Bead beating the tissue in guanidine
this study represents a rigorously tested and well-controlled                        thiocyanate and phenol (Supplementary Figure 2). Notably,
finding. First, analysis of liver samples using the ball mill                         direct comparison of the ball mill vs bead beater on macaque
revealed large differences between adjacently run (on the same                       liver tissue revealed that the DNA obtained from ball milling
day) samples [for example, one sample yielding a high quantity                       contained a higher Mycobacterium copy number than the same
of 16S DNA (~400,000 copies in 750ng) was followed by a                              quantity of DNA obtained from bead beating, reflecting the
sample yielding a low quantity of 16S DNA (50,000 copies in                          higher efficiency of the ball mill in lysing this organism
750ng)]. This provides evidence that the samples were not                            (Supplementary Figure 2).
contaminating each other during processing and reflects the                               The finding of high levels of atypical mycobacteria in the livers
thorough cleaning and decontamination of the ball mill                               of the SIV+ and SIV+cART macaques was unexpected based on
instrument in between preparation of each liver powder.                              previous microbiome evaluations in macaques (32, 36–38). The

Frontiers in Immunology | www.frontiersin.org                                    9                                      January 2022 | Volume 12 | Article 793842
Fisher et al.                                                                                                           Liver Mycobacteria in SIV-Infected Macaques

                                                A

    B                                                     C                                                    D

 FIGURE 6 | Comparison of in vitro hepatocyte transcriptomic response to mycobacterial PAMPs. Human HepaCure hepatocytes (Yecuris) were stimulated for 24
 hours with live M. smegmatis (MOI 10), purified mycobacteria PILAM (10 mu/mL) obtained from M. Smegmatis, or purified mycobacteria ManLam (10 mu/mL)
 obtained from M. tuberculosis. Expression of inflammatory genes was quantified via a Nanostring gene expression panel. (A) Genes with a significant log2 fold
 change compared to the unstimulated control (p< 0.05, 1.5-fold change cut off) for each of the three stimulation conditions are displayed. Genes with significant
 expression changes common between stimulation conditions are placed in overlapping areas with up-regulated genes depicted in red and down-regulated genes in
 blue. (B) Volcano plot for gene expression in hepatocytes stimulated with PILAM (10 mu/mL) for 24 hours with significant genes denoted with labels and diamond
 points. (C) Volcano plot for gene expression in hepatocytes stimulated with ManLAM (10 mu/mL) for 24 hours with significant genes denoted with labels and
 diamond points. (D) Volcano plot for gene expression in hepatocytes stimulated with live M. smegmatis (MOI 10) for 24 hours with significant genes denoted with
 labels and diamond points.

Mycobacterium genus comprises hundreds of species that range                         infections caused by Mycobacterium have been identified in HIV
from pathogens with significant clinical importance, such as                          + patients, particularly with members of the M. avium complex
members of the M. tuberculosis complex to NTM that are                               (MAC) (52). Early studies investigating the connection between
prevalent in water and soil (47). NTM, such as M. smegmatis                          HIV and NTM found that in patients with HIV there was a higher
are ubiquitous and inhabit a range of environmental reservoirs,                      chance of isolating M. xenopi and M. kansasii from cultured
including natural and municipal water, soil, aerosols, food and                      respiratory secretions, in addition to M. fortuitum, M. terrae, and
dust, with water being the most common source of infection (48).                     M. scrofulaceum from extrapulmonary sites (53). In fact, M.
Overall, water treatment processes have been shown to efficiently                     kansasii has been shown to cause serious pulmonary infections
remove mycobacteria, indicating that NTM recovered from water                        in patients with late-stage AIDS (54, 55). Despite the finding of
systems most likely contaminate post-treatment (49). Generally,                      opportunistic disease caused by NTM in HIV+ patients, previous
environmental mycobacteria do not pose a risk to healthy                             studies have not identified significant levels of DNA from
i n d iv id u a l s , b u t t h e s e N T M c a n c a u s e d i s e a s e i n        environmental mycobacteria in the gut microbiome of HIV+
immunocompromised individuals. In one case study, an                                 patients, nor have previous SIV studies identified mycobacteria
immunocompromised patient with an inherited interferon-                              through 16S rRNA gene sequencing in SIV+ macaques (56, 57).
gamma receptor deficiency was diagnosed with a mycobacterial                          However, Sivanandham, et al. reported the presence of
infection identified as M. smegmatis, which proved fatal despite                      granulomas induced by atypical mycobacteria in the livers of
treatment (50). Interestingly, M. smegmatis has been shown to be                     SIV+ pig-tailed macaques (58), and He, et al. similarly reported
pathogenic in other laboratory models; goldfish M. smegmatis                          the presence of granulomas in the livers of SIV+ African Green
infection induced recruitment of the bacterium to the liver and                      monkeys treated with a high fat diet although mycobacteria could
increased mortality (51). Remarkably, many opportunistic                             not be identified by acid-fast staining (59). It is important to note

Frontiers in Immunology | www.frontiersin.org                                   10                                      January 2022 | Volume 12 | Article 793842
Fisher et al.                                                                                                        Liver Mycobacteria in SIV-Infected Macaques

that detection of Mycobacterium DNA requires specialized lysis                  ETHICS STATEMENT
steps to rupture the cell wall (60, 61). Utilization of the ball mill to
mechanically disrupt liver tissue prior to DNA extraction in the                The animal study was reviewed and approved by CIDR (SCRI)
present work likely enhanced the recovery of Mycobacterium                      IACUC and WaNPRC IACUC.
DNA thereby explaining the prevalence of this taxon in
our findings.
    In previous work, we evaluated changes in the liver macrophage              AUTHOR CONTRIBUTIONS
populations that expand during SIV infection and correlate with
both pro-inflammatory (TNF-a, CCL3) and pro-fibrotic (TGF-b)                      BF and DS designed the study. BF, KF, AG, CF, and MW carried
mediators (41). Evaluating the CCL2-CCR2 chemokine network as                   out the experiments. BF, BB, KF, AG, CF, MW, NK, and ND
an integral inducer of monocyte/macrophage infiltration into the                 analyzed the data. MG and AG conducted the microbiome
liver, an upregulation of both CCL2 and CCR2 in the liver during                sequencing. BF and KF conducted the Nanostring analysis. JS
untreated SIV infection was observed. This CCR2 expression                      coordinated and oversaw the animal work. BF, KF, ND, and DS
positively correlated with the frequency of CD68+ macrophages,                  wrote the paper. All authors contributed to the article and
leading us to speculate that viral stimulation in the liver alters the          approved the submitted version.
immune environment through induction of CCL2, and possibly
other chemokines, resulting in immune cell infiltration (41).
However, in that study, we found that macrophage numbers do
not correlate with bacterial load in the liver during SIV infection             FUNDING
(41). That finding together with the increase in transcripts for                 This project was supported by funds from the National Institute of
neutrophil chemotactic mediators in M. smegmatis-stimulated                     Allergy and Infectious Diseases, National Institutes of Health grants
hepatocytes herein, point to the possibility that neutrophils,                  R21AI100782 (DS) and R01AI134630 (DS). Research was also
another key phagocytic cell population, are involved in                         supported in part with funds from the National Institute of Allergy
responding to bacteria in the SIV+ and SIV+cART liver.                          and Infectious Diseases, National Institutes of Health, including
Neutrophils are rapidly recruited to sites of acute inflammation,                5K22AI098440 (NK) and Contract No. HHSN272201300010C
though the method of recruitment of these cells to the liver is not             (MG), by the National Institutes of Health, Office of the Director
well known (21, 22). Activated neutrophils can also promote disease             P51OD010425 (MG) and under award P51OD010425 (Washington
progression via the secretion of pro-inflammatory cytokines (22). In             National Primate Research Center).
HIV+ and HIV+cART patients, an increase in neutrophil frequency
and survival was reported and correlated inversely with the ratio of
Lactobacillus to Prevotella in the gut; Lactobacillus was associated
with a decrease in neutrophil survival (62). Therefore, we                      ACKNOWLEDGMENTS
hypothesize that the increased presence of NTM in the macaques
may be correlated with increased levels of neutrophils.                         The following reagents were obtained through BEI Resources,
    Liver disease is currently a major contributor to morbidity                 NIAID, NIH: Mycobacterium smegmatis, purified
and mortality in HIV+ and HIV+cART patients. Here, we                           Lipoarabinomannan (LAM), NR-14849, and Mycobacterium
identified microbial dysbiosis within the livers of SIV+ rhesus                  tuberculosis, Strain H37Rv, purified LAM, NR-14848.
macaques, including heightened levels of atypical mycobacteria
identified as M. smegmatis, or a close relative. Our data raise
questions regarding a potential role for Mycobacterium in HIV+                  SUPPLEMENTARY MATERIAL
people, including those on cART. Obtaining critical specimens,
such as stool, liver and other tissues from these patients followed             The Supplementary Material for this article can be found online at:
by optimized DNA extraction techniques is critical for                          https://www.frontiersin.org/articles/10.3389/fimmu.2021.793842/
determining the extent to which dysbiotic bacteria, including                   full#supplementary-material
environmental mycobacteria, are part of the microbiome during
                                                                                Supplementary Figure 1 | Prevalent Genera Within the Macaque Liver. All
HIV infection. Additional work in this area may aid in the                      prevalent genera identified within the 16s rRNA sequencing of all macaques in the
development of chemoprophylaxis targeted to NTMs for HIV+                       study were plotted as a function of their overall prevalence within the dataset and
patients exhibiting liver disease.                                              with respect to their phylum. Genera plotted in order from left to right are 1.
                                                                                Mycobacterium, 2. Stenotrophomonas, 3. Delftia, 4. Massilia, 5. Acinetobacter, 6.
                                                                                Garnerella, 7. Halomonas, 8. Achromobacter, 9. Lactobacillus, 10.
                                                                                Staphylococcus, 11. Streptococcus, 12. Cloacibacterium, 13. Helicobacter, 14.
DATA AVAILABILITY STATEMENT                                                     Ottowia, 15. Phenylobacterium, 16. Corynebacterium_1, 17. Janibacter, 18.
                                                                                Tepidimonas, 19. Sphingomonas, 20. Micrococcus, 21. Prevotella_9, 22.
                                                                                Brevundimonas, 23. Holdemanella, 24. Hydrotalea, 25. Novosphingobium, 26.
The datasets presented in this study can be found in online
                                                                                Psychrobacter, 27. Atopobium, 28. Bradyrhizobium, 29. Comamonas, 30.
repositories. The names of the repository/repositories and                      Haemophilus, 31. Nesterenkonia, 32. Novispirillum, 33. Pelomonas, 34.
accession number(s) can be found below: https://www.ncbi.                       Actinomyces, 35. Dermacoccus, 36. Entrydobacter, 37. Lawsonella, 38.
nlm.nih.gov/, PRJNA692039.                                                      Mesthylobacterium, 39. Ralstoria, 40. Ruminococcaceae_UCG-005, 41.

Frontiers in Immunology | www.frontiersin.org                              11                                        January 2022 | Volume 12 | Article 793842
Fisher et al.                                                                                                                     Liver Mycobacteria in SIV-Infected Macaques

Stulliworthia, 42. Thermus, 43. Anaerococcus, 44. Chlamydia, 45. Cuthacterium,              dissociation and DNA extraction using either the Ball Mill (blue circles) or the
46. Mycoplasma, 47. Pseudomonas, 48. Sneathia, 49. Prevotella_7.                            Bead Beater (red squares). For equivalent input of the resulting DNA into 16s
                                                                                            rRNA qPCR, resulting copies of the Mycobacterium 16s rRNA gene are shown,
Supplementary Figure 2 | Comparison of DNA Extraction Methodologies on                      indicating the superior recovery of mycobacterial DNA by the Ball Mill tissue
Liver Tissue. Frozen macaque liver samples were subjected to tissue                         dissociation approach.

                                                                                                  Combination Antiretroviral Therapy (cART). EClinicalMedicine (2021)
REFERENCES                                                                                        40:101116. doi: 10.1016/j.eclinm.2021.101116
 1. World Health Organization. HIV/AIDS Fact Sheet. Available at: https://www.              17.   Albillos A, de Gottardi A, Rescigno M. The Gut-Liver Axis in Liver Disease:
    who.int/news-room/fact-sheets/detail/hiv-aids.                                                Pathophysiological Basis for Therapy. J Hepatol (2020) 72(3):558–77. doi:
 2. Marcus JL, Chao CR, Leyden WA, Xu L, Quesenberry CP Jr, Klein DB, et al.                      10.1016/j.jhep.2019.10.003
    Narrowing the Gap in Life Expectancy Between HIV-Infected and HIV-                      18.   Heymann F, Tacke F. Immunology in the Liver–From Homeostasis to
    Uninfected Individuals With Access to Care. J Acquir Immune Defic Syndr                        Disease. Nat Rev Gastroenterol Hepatol (2016) 13(2):88–110. doi: 10.1038/
    (2016) 73(1):39–46. doi: 10.1097/QAI.0000000000001014                                         nrgastro.2015.200
 3. Wandeler G, Johnson LF, Egger M. Trends in Life Expectancy of HIV-                      19.   Kazankov K, Jorgensen SMD, Thomsen KL, Moller HJ, Vilstrup H, George J,
    Positive Adults on Antiretroviral Therapy Across the Globe: Comparisons                       et al. The Role of Macrophages in Nonalcoholic Fatty Liver Disease and
    With General Population. Curr Opin HIV AIDS (2016) 11(5):492–500. doi:                        Nonalcoholic Steatohepatitis. Nat Rev Gastroenterol Hepatol (2019) 16
    10.1097/COH.0000000000000298                                                                  (3):145–59. doi: 10.1038/s41575-018-0082-x
 4. Nasi M, De Biasi S, Gibellini L, Bianchini E, Pecorini S, Bacca V, et al. Ageing        20.   Chow JC, Young DW, Golenbock DT, Christ WJ, Gusovsky F. Toll-Like
    and Inflammation in Patients With HIV Infection. Clin Exp Immunol (2017)                       Receptor-4 Mediates Lipopolysaccharide-Induced Signal Transduction. J Biol
    187(1):44–52. doi: 10.1111/cei.12814                                                          Chem (1999) 274(16):10689–92. doi: 10.1074/jbc.274.16.10689
 5. Ruzicka DJ, Imai K, Takahashi K, Naito T. Greater Burden of Chronic                     21.   Koyama Y, Brenner DA. Liver Inflammation and Fibrosis. J Clin Invest (2017)
    Comorbidities and Co-Medications Among People Living With HIV Versus                          127(1):55–64. doi: 10.1172/JCI88881
    People Without HIV in Japan: A Hospital Claims Database Study. J Infect                 22.   Honda M, Kubes P. Neutrophils and Neutrophil Extracellular Traps in the
    Chemother (2019) 25(2):89–95. doi: 10.1016/j.jiac.2018.10.006                                 Liver and Gastrointestinal System. Nat Rev Gastroenterol Hepatol (2018) 15
 6. Chan AW, Patel YA, Choi S. Aging of the Liver: What This Means for Patients                   (4):206–21. doi: 10.1038/nrgastro.2017.183
    With HIV. Curr HIV/AIDS Rep (2016) 13(6):309–17. doi: 10.1007/s11904-                   23.   Feingold KR, Staprans I, Memon RA, Moser AH, Shigenaga JK, Doerrler W,
    016-0332-x                                                                                    et al. Endotoxin Rapidly Induces Changes in Lipid Metabolism That Produce
 7. Croxford S, Kitching A, Desai S, Kall M, Edelstein M, Skingsley A, et al.                     Hypertriglyceridemia: Low Doses Stimulate Hepatic Triglyceride Production
    Mortality and Causes of Death in People Diagnosed With HIV in the Era of                      While High Doses Inhibit Clearance. J Lipid Res (1992) 33(12):1765–76. doi:
    Highly Active Antiretroviral Therapy Compared With the General                                10.1016/S0022-2275(20)41334-3
    Population: An Analysis of a National Observational Cohort. Lancet Public               24.   Panesar N, Tolman K, Mazuski JE. Endotoxin Stimulates Hepatocyte
    Health (2017) 2(1):e35–46. doi: 10.1016/S2468-2667(16)30020-2                                 Interleukin-6 Production. J Surg Res (1999) 85(2):251–8. doi: 10.1006/
 8. Farahani M, Mulinder H, Farahani A, Marlink R. Prevalence and Distribution                    jsre.1999.5648
    of non-AIDS Causes of Death Among HIV-Infected Individuals Receiving                    25.   Bajaj JS, Heuman DM, Hylemon PB, Sanyal AJ, White MB, Monteith P, et al.
    Antiretroviral Therapy: A Systematic Review and Meta-Analysis. Int J STD                      Altered Profile of Human Gut Microbiome Is Associated With Cirrhosis and its
    AIDS (2017) 28(7):636–50. doi: 10.1177/0956462416632428                                       Complications. J Hepatol (2014) 60(5):940–7. doi: 10.1016/j.jhep.2013.12.019
 9. Blackard JT, Welge JA, Taylor LE, Mayer KH, Klein RS, Celentano DD, et al.              26.   Bajaj JS, Kakiyama G, Zhao D, Takei H, Fagan A, Hylemon P, et al. Continued
    HIV Mono-Infection is Associated With FIB-4 - A Noninvasive Index of                          Alcohol Misuse in Human Cirrhosis Is Associated With an Impaired Gut-Liver
    Liver Fibrosis - in Women. Clin Infect Dis (2011) 52(5):674–80. doi: 10.1093/                 Axis. Alcohol Clin Exp Res (2017) 41(11):1857–65. doi: 10.1111/acer.13498
    cid/ciq199                                                                              27.   Brun P, Castagliuolo I, Di Leo V, Buda A, Pinzani M, Palu G, et al. Increased
10. Forrester JE, Rhee MS, McGovern BH, Sterling RK, Knox TA, Terrin N. The                       Intestinal Permeability in Obese Mice: New Evidence in the Pathogenesis of
    Association of HIV Viral Load With Indirect Markers of Liver Injury. J Viral                  Nonalcoholic Steatohepatitis. Am J Physiol Gastrointest Liver Physiol (2007)
    Hepat (2012) 19(2):e202–11. doi: 10.1111/j.1365-2893.2011.01529.x                             292(2):G518–25. doi: 10.1152/ajpgi.00024.2006
11. Kim HN, Nance R, Van Rompaey S, Delaney JC, Crane HM, Cachay ER, et al.                 28.   Erridge C, Attina T, Spickett CM, Webb DJ. A High-Fat Meal Induces Low-
    Poorly Controlled HIV Infection: An Independent Risk Factor for Liver                         Grade Endotoxemia: Evidence of a Novel Mechanism of Postprandial
    Fibrosis. J Acquir Immune Defic Syndr (2016) 72(4):437–43. doi: 10.1097/                       Inflammation. Am J Clin Nutr (2007) 86(5):1286–92. doi: 10.1093/ajcn/
    QAI.0000000000000992                                                                          86.5.1286
12. Hyun J, McMahon RS, Lang AL, Edwards JS, Badilla AD, Greene ME, et al.                  29.   Etienne-Mesmin L, Vijay-Kumar M, Gewirtz AT, Chassaing B. Hepatocyte
    HIV and HCV Augments Inflammatory Responses Through Increased                                  Toll-Like Receptor 5 Promotes Bacterial Clearance and Protects Mice Against
    TREM-1 Expression and Signaling in Kupffer and Myeloid Cells. PloS                            High-Fat Diet-Induced Liver Disease. Cell Mol Gastroenterol Hepatol (2016) 2
    Pathog (2019) 15(7):e1007883. doi: 10.1371/journal.ppat.1007883                               (5):584–604. doi: 10.1016/j.jcmgh.2016.04.007
13. Wei Q, Lin H, Ding Y, Liu X, Wu Q, Shen W, et al. Liver Fibrosis After                  30.   Cervo A, Shengir M, Patel K, Sebastiani G. NASH in HIV. Curr HIV/AIDS
    Antiretroviral Therapy in a Longitudinal Cohort of Sexually Infected HIV                      Rep (2020) 17:601–614. doi: 10.1007/s11904-020-00531-0
    Patients in Eastern China. Biosci Trends (2017) 11(3):274–81. doi: 10.5582/             31.   Pandrea I, Landay A, Wilson C, Stock J, Tracy R, Apetrei C. Using the
    bst.2017.01071                                                                                Pathogenic and Nonpathogenic Nonhuman Primate Model for Studying
14. Anadol E, Lust K, Boesecke C, Schwarze-Zander C, Mohr R, Wasmuth JC,                          Non-AIDS Comorbidities. Curr HIV/AIDS Rep (2015) 12(1):54–67. doi:
    et al. Exposure to Previous cART Is Associated With Significant Liver Fibrosis                 10.1007/s11904-014-0245-5
    and Cirrhosis in Human Immunodeficiency Virus-Infected Patients. PloS One                32.   Klase Z, Ortiz A, Deleage C, Mudd JC, Quinones M, Schwartzman E, et al.
    (2018) 13(1):e0191118. doi: 10.1371/journal.pone.0191118                                      Dysbiotic Bacteria Translocate in Progressive SIV Infection. Mucosal
15. Suarez-Zarracina T, Valle-Garay E, Collazos J, Montes AH, Carcaba V, Carton                   Immunol (2015) 8(5):1009–20. doi: 10.1038/mi.2014.128
    JA, et al. Didanosine (Ddi) Associates With Increased Liver Fibrosis in Adult           33.   Amaral WZ, Lubach GR, Proctor A, Lyte M, Phillips GJ, Coe CL. Social
    HIV-HCV Coinfected Patients. J Viral Hepat (2012) 19(10):685–93. doi:                         Influences on Prevotella and the Gut Microbiome of Young Monkeys.
    10.1111/j.1365-2893.2012.01596.x                                                              Psychosom Med (2017) 79(8):888–97. doi: 10.1097/PSY.0000000000000454
16. Bischoff J, Gu W, Schwarze-Zander C, Boesecke C, Wasmuth JC, van Bremen                 34.   Dettmer AM, Allen JM, Jaggers RM, Bailey MT. A Descriptive Analysis of Gut
    K, et al. Stratifying the Risk of NAFLD in Patients With HIV Under                            Microbiota Composition in Differentially Reared Infant Rhesus Monkeys

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